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Midfielder joins WSL runners-up on permanent deal after four-year spell with Bayern Munich.

England midfielder Georgia Stanway has joined Arsenal on a permanent deal, the Women’s Super League (WSL) club have announced.

The 27-year-old left Bayern Munich at the end of the season and spent four years with the Frauen-Bundesliga side, winning eight trophies and featuring 128 times.

Stanway began her career with Blackburn before joining WSL side Manchester City in summer 2015, where she made 186 appearances and scored 67 goals in seven seasons, lifting one WSL crown, three FA Cups and three League Cups.

The article covers a fascinating new approach to wildlife conservation and anti-poaching efforts. Scientists at the Max Planck Institute of Animal Behavior developed a system that uses the ICARUS satellite network to track "panic signatures" the predictable ways animals react when a threat, like a poacher, enters their territory.

At Okambara, a private wildlife reserve in Namibia, researchers simulated poaching events to map how different species scatter and respond to danger. The panic patterns collected were used to train an algorithm capable of sending real-time alerts to rangers.

Different animals respond in unique ways — giraffes, for instance, don't run; they stand still, all pointing their heads in the same direction toward the threat. As ecologist Martin Wikelski explains, this tells rangers exactly where the danger is.

At the heart of the system are wildlife tracking tags that record GPS location, activity, heart rate, body temperature, and atmospheric pressure, with a goal of tagging 100,000 animals across the planet by 2030.

The broader context: more than 10,000 rhinos have been poached in South Africa over the last 15 years, and rangers are consistently outnumbered across vast reserves. This system essentially turns the animals themselves into the first line of defense. Digital Trends

AI's Reputation Crisis:

The article notes that three months prior, OpenAI co-founder Greg Brockman acknowledged a growing public relations problem: despite the massive popularity of tools like ChatGPT, a rising share of the public views AI negatively. This backlash has only worsened, setting the stage for Chris Lehane's role.

Chris Lehane's Role & Strategy

· Who he is: Chris Lehane is OpenAI's global affairs chief. The article dubs him a "Master of Disaster" for his work in political crisis management and public relations.

2. The "Grassroots" Angle: Drawing from his Airbnb playbook, Lehane likely plans to mobilize OpenAI's massive user base (millions of developers and users) as a political force to argue that AI "empowers" ordinary people, not just big tech.

· Core Goal:

His mission is to tone down the heated public debate over AI's societal impacts. The strategy is not just about defending the company's image, but actively shaping the regulatory environment.

· Key Tactic: A central part of his plan is to proactively engage with U.S. states to pass AI legislation. Crucially, the goal is to help craft laws that address safety concerns without stifling OpenAI's business interests or "derailing its meteoric rise."

Italian authorities just dismantled a massive piracy network that cost broadcasters and streamers (Sky, DAZN, Netflix, Disney+, Spotify) an estimated €300 million in damages.

The ring ran an app called CINEMAGOAL, which exploited a sneaky method:

· Hijacked legit subscriber access codes tied to fake accounts

· Rotated those codes every 3 minutes to avoid detection

· Rerouted traffic through foreign servers to decrypt content

The fallout:

· Foreign servers and the app's source code seized

· 1,000 users identified and facing fines (€154–€5,000)

· Coordinated raids across Italy, with Eurojust support + parallel actions in France and Germany

One of the biggest streaming piracy busts in Europe. The app name sounds fake, but the money involved definitely wasn't.

The Blocked Deal: Chinese regulators have prohibited Meta's roughly $2 billion acquisition of the AI start-up Manus. The deal, announced in late December, was intended to integrate Manus’s AI agents into Meta's platforms.

Why Manus is Noteworthy: Manus claims its AI agent is "truly autonomous" and can plan and complete tasks independently, unlike standard chatbots that need repeated prompting.

Key Complications:

· Although now based in Singapore, Manus was founded in China, which puts it under Chinese jurisdiction for export and sale regulations.

· It was reported in March that the two co-founders had been prevented from leaving China during the review.

· As Manus's team is already "deeply integrated" into Meta, unwinding the deal could be difficult for the company.

Geopolitical Context: The block occurs amid heightened tech tensions between the US and China. The White House recently announced plans to combat foreign entities, "principally based in China," from copying US AI models, which China's embassy called an "unjustified suppression."

The Two Photos

· Apollo 8 (1968): Astronaut Bill Anders captured the famous "Earthrise" photo showing the colorful Earth rising over the gray, desolate lunar surface. The image was unplanned and became a catalyst for the environmental movement, leading to the first Earth Day in 1970

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· Artemis II (2026): During a recent Moon flyby, the crew took a new "Earthset" photo. Unlike 1968, NASA deliberately planned to recreate this perspective. The crew chose not to credit a single individual, attributing it to the whole team.

Key Changes in 58 Years

While 58 years is a blink in geological time, climate change has visibly altered the planet:

· Antarctic Ice Loss: The Antarctic Peninsula—one of the fastest-warming regions—has seen 28,000 sq km of ice shelf collapse between the two photos. Scientists note changes in ice cover are "unprecedented in the last 10,000 years."

· Atmospheric CO2: Carbon dioxide levels have risen by about one-third since 1968.

· Temperature: Global temperatures have increased by at least 1°C.

· Land Texture: Visible changes from space include expanding cities, deforestation (replacing dark forests with bright farmland), and the Aral Sea shrinking to less than 10% of its 1960s size.

The Human Perspective

Scientists emphasize that despite thousands of daily satellite images, photos taken by humans carry unique emotional weight. ESA's Craig Donlon notes that astronauts make conscious and subconscious choices when framing a shot, reinforcing the idea that Earth is "everything."

Context and Legacy

The article notes that even in 1968, Earth was already damaged by smog and pollution (LA smog was blinding, rivers caught fire). Apollo 8 Commander Frank Borman's observation remains central: "I don't think any of us have paid any attention to the fact that we would be going all the way to the Moon and be more interested in looking at the Earth."

In essence, the new "Earthset" image serves as a visual benchmark highlighting the acceleration of climate change impacts on the planet's ice, atmosphere, and surface over the last half-century.

BBC

Main Concern: Researchers are warning that relying too heavily on AI chatbots like ChatGPT for mental tasks (a habit called "cognitive offloading") may weaken our memory, creativity, and critical thinking skills.

Key Findings from Studies:

· Reduced Brain Activity: An MIT study found that students who used ChatGPT to write essays showed up to 55% less brain activity compared to those who used only their own minds or basic search engines.

· Memory Issues: Those using AI could not quote their own essays afterward and felt no ownership of the work.

· "Cognitive Surrender": Research from the University of Pennsylvania suggests people tend to accept AI answers without scrutiny, overriding their own intuition.

· Skill Loss: Medical professionals who used AI for cancer screening became worse at spotting tumors without it later.

The Long-Term Risk: Scientists worry that consistently avoiding deep thinking could potentially contribute to cognitive decline or increased dementia risk later in life, similar to how overusing GPS weakens spatial memory.

How to Use AI Safely: Experts suggest using AI as a debate partner ("nemesis prompt") to challenge your ideas rather than just giving you the answer, or asking AI to only ask you questions instead of providing solutions.

BBC article "Quantum computing: A tech race Europe could win?" by John Laurenson, published April 13, 2026:

The article explores the global race to build a practical quantum computer, arguing that Europe and France in particular has a teal chance to lead, rather than being left behind as with previous tech revolutions.

The Article Explains:

· The Technology:

Quantum computers operate at temperatures near absolute zero (-273°C) using "qubits." Unlike regular computers, they can solve problems currently impossible for classical machines, such as making medicine development "an exact science" by precisely simulating molecular reactions instead of relying on trial and error.

· The "Cat Qubit" Advantage:

The piece focuses on the Paris-based company Alice & Bob. Their main innovation is the "cat qubit" (named after Schrödinger's cat), which is designed to correct errors automatically by design. This approach is potentially far more efficient and cheaper than competitors like Google or IBM, who rely on massive redundancy (thousands of physical qubits to make one reliable "logical" qubit).

· France's Quantum Ecosystem:

France is described as a "hotspot" with six active quantum computing startups (including Alice & Bob, Pasqal, Quandela, Quobly, and C12). The country benefits from a strong physics talent pipeline (École Polytechnique, École Normale Supérieure) and government support through initiatives like the PROQCIMA program.

· Current Limitations vs. Future Promise:

The article is realistic about the timeline. Current machines are no more powerful than a smartphone, but they are being placed in data centers now to train the workforce for the moment the technology "takes off" exponentially.

· A Psychological Hurdle: The CEO of Alice & Bob notes that the biggest challenge might be confidence. While the US is often seen as the tech leader, the article suggests Europe must adopt a "bullish" mindset because the playing field in quantum mechanics is surprisingly level it is a math and physics challenge, not a legacy manufacturing one.

In essence, the report suggests that because quantum computing relies more on theoretical physics breakthroughs than on existing semiconductor manufacturing dominance, Europe's strong academic base gives it a rare shot at winning a "winner-takes-all" tech race.

Note:

Mainstream (Google/IBM): Uses standard qubits that are fragile. Needs thousands of backup qubits to constantly check and fix errors. Expensive and huge.

Alice & Bob (Cat Qubits): Uses a special design that prevents errors naturally by physics. Needs far fewer backup qubits. Cheaper and smaller in theory.

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

Here is a summary of the key points from the Nature article:

The Issue:

Dozens of AI models designed to predict a person's risk of stroke and diabetes were trained on two large, open-access health datasets that researchers now suspect contain fabricated or dubious data.

The Evidence:

Researchers analyzed the datasets (hosted on the platform Kaggle) and found major red flags:

· Impossible completeness: Real patient data almost always has missing information; these datasets had almost none.

· Unnatural patterns: One dataset contained only 18 discrete blood glucose values across 100,000 people a statistical impossibility in real life.

The Real-World Risk:

Despite the data looking suspicious, at least two models built from this information have already been used in hospitals in Indonesia and Spain. There are also public web tools and a patent application based on these models. Experts warn this could lead to incorrect diagnoses or inappropriate treatments.

The Bottom Line:

The researchers are

calling for the datasets to be removed and for medical journals to require proof of data origin before publishing AI studies. The sources of the data remain unknown, and the uploaders declined to disclose where the information originally came from.

It can simply be said that AI was feeded Junk Data.

Loneliness may quietly affect how well older adults remember things but it might not be speeding up mental decline after all. A large European study tracking over 10,000 people for seven years found that those who felt lonelier started off with weaker memory, yet their memory didn’t deteriorate any faster than those who felt more socially connected. The findings challenge the idea that loneliness directly accelerates cognitive decline or dementia, suggesting instead that it impacts baseline brain performance.

The developers of Pixel Societies are using AI agents to simulate social interactions. It's an attempt optimize the process of choosing new colleagues, friends, and even romantic partners.

The Wired article explains how AI agents specifically citing project called Pixel Societies could transform dating and social matching.

The Artcle Suggests:

Pixel Societies: A simulation where AI “digital twins” of real people interact at high speed to find compatible colleagues, friends, or romantic partners.

How it works: Agents are fed public data and user-provided info (e.g., personality quiz answers). They then simulate conversations, aiming to surface “delicate matches” humans might miss.

· Potential: Developers say it could escape the “swipe” model, reduce time spent on dating apps, and expand matchmaking beyond superficial traits.

· Skepticism:

Psychologist Paul Eastwick notes that compatibility is often unpredictable from static data; it emerges through shared time and early interactions.

· Risks include high costs, incentive mismatches (apps benefiting from users staying single), and the “ick factor” of outsourcing romance to AI.

· Current state: Pixel Societies is a proof-of-concept. In a test, the reporter’s AI agent misrepresented him (hallucinated stories, spoke in clichés), so he ignored its suggestions.

Bottom line: AI agents might eventually act as matchmaking assistants, but serious technical and psychological hurdles remain.

For years, scientists believed our lifespan was mostly shaped by environment and chance, with genetics playing only a minor role. But a new study from the Weizmann Institute flips that idea on its head, revealing that genes may actually account for about half of the differences in how long people live. By analyzing massive twin datasets—including twins raised apart—and using innovative simulations to filter out deaths from accidents and other external causes, researchers uncovered a hidden genetic influence that had been masked for decades.

It begins with a failed French Revolution experiment in 1793, which tried to decimalize time (10 hours per day, 100 minutes per hour, 100 seconds per minute). The system lasted barely 17 months because it caused confusion, required costly clock conversions, and isolated France from other nations.

The real origin lies with the ancient Sumerians in Mesopotamia (modern-day Iraq). They developed a sexagesimal (base-60) number system, possibly inspired by counting the three joints on each of four fingers (12) and using the five fingers of the other hand to track five sets of 12, reaching 60. Sixty is highly divisible (by 1,2,3,4,5,6,10,12,15,20,30,60), which made it practical for accounting, taxes, and land division.

While the Egyptians first divided the day into 24 hours (12 for night, 12 for day), it was the Babylonians who applied base-60 to time. For daily use, they kept 24 hours. But for astronomical calculations, they subdivided hours further: they divided a double-hour into 30 "ancient minutes" (ush), and each ush into 60 smaller units (ninda). However, they weren't thinking of these as minutes and seconds for daily life they were subdividing numbers that measured sky distances or planetary speeds.

The ancient Greeks adopted this Babylonian system, allowing them to build on existing astronomical data. The system passed through the Hellenistic world and eventually into Europe. For centuries, minutes and seconds remained purely mathematical concepts because clocks weren't accurate enough to measure them. Only with precise mechanical clocks (like the 18th-century H4 watch) did minutes and seconds enter everyday use.

Today, atomic clocks have redefined the second with extreme precision, but the fundamental units hours, minutes, and seconds still rest on that ancient Sumerian base-60 system. A French attempt to change it failed, and the system is now too deeply ingrained to replace.